AddressWho We Are:
Our client is a leading Non-Banking Financial Company (NBFC) dedicated to revolutionizing the lending landscape for small businesses in India. With a strong focus on technology, they are committed to providing quick, flexible, and adequate funding solutions to empower small and medium-sized enterprises (SMEs) to grow and thrive. Their mission is to offer "Financial access at a click," and they have already made a significant impact by disbursing over 58,000+ loans worth more than Rs. 3,000 Crores to SMEs across 1,600+ cities, all accomplished without the need for physical branches.
Backed by a team of industry experts and supported by strategic partnerships with major players like Amazon, Flipkart, Nykaa, Paisabazaar, and more, our client is at the forefront of digital lending, leveraging cutting-edge technology and innovative risk models to assess and serve their customers.
The Role in a Nutshell: As our client embarks on its next phase of growth, they are seeking individuals who are passionate and driven to make a significant difference in the MSME ecosystem. In the role of AVP/VP - Data Science and Analytics, you will play a pivotal role in achieving our client's ambitious growth targets by developing a robust and predictive data analytics framework.
Job Description:
1. Streamline Digital Analytics efforts to boost revenue across all business segments of the NBFC.
2. Collaborate with business executives and department heads to create advanced analytic data models that drive business growth.
3. Develop and strengthen existing business and credit scorecards across multiple lending products.
4. To translate the policies into the right underwriting standards.
5. Ensure that the end-to-end customer lifecycle performance is in line with expectations.
6. To monitor the health of the portfolio in terms of vintage performance.
7. Work with cross-functional teams to identify business opportunities, optimize product performance and marketing efforts.
8. Articulate complex Data Science models to business teams and present the insights in easily understandable and innovative formats.
9. Turn complex business challenges into clear analytical frameworks using advanced math and statistics, and deliver effective solutions.
Competencies Required:
Skills:
1. Good understanding of Financial Products and Credit models
2. Ability to lead a team in a fast-paced environment
3. Strong knowledge in of R/Python
4. 10+ years of relevant industry experience (NBFC/Lending/Fintech) in a Data Science/advanced analytics role
5.Data Science fundamentals in Machine Learning, AI, Big Data, Data Visualization, Statistical analysis and computing.
7. Education: Bachelor's degree/Master's Degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
8. Yrs of Exp: 8 - 12 years
